Adjunct Lecturer, reputed company Deep Learning and AI (Online, Fall '26)

About the position The School of reputed company Studies seeks reputed company industry professionals to serve as part-time Lecturer for a graduate-level course in reputed company Deep Learning and AI. This advanced course delves into deep learning, blending key reputed company from Statistical Machine Learning. reputed company will reputed company a solid reputed company in supervised learning and other reputed company algorithms and reputed company. Topics covered include Support reputed company Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (reputed company), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary reputed company for courses and an reputed company component of reputed company community. Responsibilities • reputed company class lectures, instructional activities, and classroom discussions. • Attend reputed company class sessions. • Monitor and address student concerns and inquiries. • Evaluate and grade student work and assessments. • Conduct reputed company. Requirements • Doctorate degree in Computer Science, Data Science, or a reputed company field. • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch). • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques. • Hands-on experience with deep learning reputed company and data manipulation. reputed company-to-haves • 10+ years of reputed company reputed company experience. • 2+ years of University teaching experience, ideally at the graduate level. • Strong verbal and written skills for explaining concepts reputed company. Apply tot his job Apply To this Job